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An Optimal Method for Multiple Observers Sitting on Terrain Based on Improved Simulated Annealing Techniques

  • Pin Lv
  • Jin-fang Zhang
  • Min Lu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4031)

Abstract

The problem of multiple observers sitting on terrain (MOST) is an important part in visibility-based terrain reasoning (VBTR), but it is difficult because of the unacceptable computing time. Recent developments in this field focus on involving spatial optimization techniques, such as a heuristic algorithm. In this paper, a new method is developed based on the Improved Simulated Annealing (ISA) algorithm through the analysis of different terrain characters. A new annealing function and a new state function are designed to make the improved algorithm fit the problem better. Experiment results show that without loss of precision, use of the ISA algorithm reduces time cost 50%~70% when compared with the traditional SA.

Keywords

Heuristic Algorithm Simulated Annealing Algorithm Digital Terrain Model Temperature Stage Annealing Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Pin Lv
    • 1
  • Jin-fang Zhang
    • 1
  • Min Lu
    • 1
  1. 1.National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of SciencesBeijingChina

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